Tootfinder

Building Whitespace-Sensitive Languages Using Whitespace-Insensitive Components
Alexander Hellwig, Nico Jansen, Bernhard Rumpe
https://arxiv.org/abs/2510.08200 https://

Building Whitespace-Sensitive Languages Using Whitespace-Insensitive Components
In Software Language Engineering, there is a trend towards reusability by composing modular language components. However, this reusability is severely inhibited by a gap in integrating whitespace-sensitive and whitespace-insensitive languages. There is currently no consistent procedure for seamlessly reusing such language components in both cases, such that libraries often cannot be reused, and whitespacesensitive languages are developed from scratch. This paper presents a technique for using m…

Stochastic Gradient Descent for Incomplete Tensor Linear Systems
Anna Ma, Deanna Needell, Alexander Xue
https://arxiv.org/abs/2510.07630 https://arxiv.org/…

Stochastic Gradient Descent for Incomplete Tensor Linear Systems
Solving large tensor linear systems poses significant challenges due to the high volume of data stored, and it only becomes more challenging when some of the data is missing. Recently, Ma et al. showed that this problem can be tackled using a stochastic gradient descent-based method, assuming that the missing data follows a uniform missing pattern. We adapt the technique by modifying the update direction, showing that the method is applicable under other missing data models. We prove convergenc…

Towards generalizable deep ptychography neural networks
Albert Vong, Steven Henke, Oliver Hoidn, Hanna Ruth, Junjing Deng, Alexander Hexemer, Apurva Mehta, Arianna Gleason, Levi Hancock, Nicholas Schwarz
https://arxiv.org/abs/2509.25104

Towards generalizable deep ptychography neural networks
X-ray ptychography is a data-intensive imaging technique expected to become ubiquitous at next-generation light sources delivering many-fold increases in coherent flux. The need for real-time feedback under accelerated acquisition rates motivates surrogate reconstruction models like deep neural networks, which offer orders-of-magnitude speedup over conventional methods. However, existing deep learning approaches lack robustness across diverse experimental conditions. We propose an unsupervised …

Constructing and Cataloging 2-Adjacent Knots
John Carney, Everett Meike
https://arxiv.org/abs/2510.00291 https://arxiv.org/pdf/2510.00291

Constructing and Cataloging 2-Adjacent Knots
Generalizing unknotting number, $n$-adjacent knots have $n$ crossings such that changing any non-empty subset of them results in the unknot. In this paper, we determine the 2-adjacent knots through 12 crossings. Using Heegaard Floer $d$-invariants and the Alexander polynomial, we develop a new technique to obstruct 2-adjacency, and we prove conjectures of Ito and Kato regarding 2-adjacent knots.

Preconditioned Deformation Grids
Julian Kaltheuner, Alexander Oebel, Hannah Droege, Patrick Stotko, Reinhard Klein
https://arxiv.org/abs/2509.18097 https://

Preconditioned Deformation Grids
Dynamic surface reconstruction of objects from point cloud sequences is a challenging field in computer graphics. Existing approaches either require multiple regularization terms or extensive training data which, however, lead to compromises in reconstruction accuracy as well as over-smoothing or poor generalization to unseen objects and motions. To address these lim- itations, we introduce Preconditioned Deformation Grids, a novel technique for estimating coherent deformation fields directly f…

Femtosecond Laser Crystallization of Ultrathin a-Ge Films in Multilayer Stacks with Silicon Layers
Yuzhu Cheng, Alexander V. Bulgakov, Nadezhda M. Bulgakova, Ji\v{r}\'i Ber\'anek, Aleksey V. Kacyuba, Vladimir A. Volodin
https://arxiv.org/abs/2509.26303

Femtosecond Laser Crystallization of Ultrathin a-Ge Films in Multilayer Stacks with Silicon Layers
Ultrashort pulsed laser annealing is an efficient technique for crystallizing amorphous semiconductors with the possibility to obtain polycrystalline films at low temperatures, below the melting point, through non-thermal processes. Here, a multilayer structure consisting of alternating amorphous silicon and germanium films was annealed by mid-infrared (1500 nm) ultrashort (70 fs) laser pulses under single-shot and multi-shot irradiation conditions. We investigate selective crystallization of u…

Ghost Imaging with Free Electron-Photon Pairs
Sergei Bogdanov, Alexander Preimesberger, Harsh Mishra, Dominik Hornof, Thomas Spielauer, Florian Thajer, Max Maurer, Pia Falb, Leo St\"oger, Thomas Schachinger, Friedrich Bleicher, Michael S. Seifner, Isobel C. Bicket, Philipp Haslinger
https://arxiv.org/abs/2509.14950

Ghost Imaging with Free Electron-Photon Pairs
Coincidence imaging, also known as ghost imaging, is a technique that exploits correlations between two particles to reconstruct information about a specimen. The particle that relays the spatial information about the object remains completely non-interacting, while the particle used to probe the object is not spatially resolved. While ghost imaging has been primarily implemented on photonic platforms, it becomes particularly intriguing when applied to particles with fundamentally different pro…

General real-valued theories with the Schr\"oder-Bernstein property are stable
Alexander Berenstein, Nicol\'as Cuervo Ovalle, Isaac Goldbring
https://arxiv.org/abs/2510.11858

General real-valued theories with the Schröder-Bernstein property are stable
We show that every general theory à la Keisler with the Schröder-Bernstein property is stable. This generalizes the corresponding result from classical logic due to John Goodrick. Our proof uses the classical result (generalized to the case that the instability is witnessed by an infinitary formula) together with a discretization technique introduced by Keisler and the third-named author. We speculate on how our techniques could be adapted to show that every continuous theory with the Schröd…